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Simulating & Refining Chatbot Responses

Before launching your AI agent, it’s essential to test how it interacts with users. The Playground section lets you experiment with different queries, evaluate chatbot accuracy, and make improvements to ensure seamless customer interactions.

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Accessing the Playground Section

To begin, navigate to the Laxi.ai Dashboard → Playground. This section allows you to test and refine your AI agent before going live. Navigate to Playground in Laxi.ai Once inside the testing environment, you’ll see a chat interface where you can interact with your AI agent in real-time. Laxi.ai Testing Screen

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Testing Suggested Messages

Suggested messages allow customers to click on predefined queries instead of typing. Testing these ensures that your AI delivers relevant and accurate responses.

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Testing Product Queries

A customer might ask about popular products. Selecting the “Our most liked product” option should display the top-rated items from your store. AI recommends top-rated products

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Finding the Right Gift

Customers often look for gift recommendations. Clicking “Help me find a gift” should generate product suggestions tailored to gifting. AI suggests gift ideas

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Checking Return Policy

If a user asks about returns by selecting “Return policy”, the chatbot should pull accurate details from your stored knowledge base. AI responds with return policy details

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Understanding Privacy Policies

Users concerned about data security may ask about privacy policies. Clicking “Privacy policy” should retrieve verified information from your business policies. AI responds with privacy policy details

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Testing Conversational Flow

A good chatbot can handle multi-step conversations while maintaining context. You can test this by asking follow-up questions about a product.

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Example: Snowboard Inquiry

  1. User: What snowboard options do I have?
    • AI: Displays a list of available snowboards.
    AI displays snowboard options
  2. User: Which is the best one?
    • AI: Recommends the highest-rated snowboard.
    AI recommends top snowboard
  3. User: Can you give more details on this?
    • AI: Provides specifications, features, and pricing.
    AI shows product details
  4. User: Is it strong and reliable?
    • AI: Confirms the durability of the snowboard.
    AI confirms product durability
Test different types of queries to check how well your AI agent understands customer needs and provides relevant answers.

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Debugging & Refining Responses

If your chatbot provides incorrect or incomplete responses, follow these steps to improve its accuracy:
1

Review Data Sources

Ensure all product details, FAQs, and documents are correctly synced.
2

Update the AI Agent

If you’ve added new data, click Update AI Agent to train it with the latest information.
3

Adjust Suggested Messages

Modify or add personalized responses to improve customer interactions.
Regular testing and updates help maintain a well-functioning AI chatbot that enhances customer experience.

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Final Thoughts

Testing and debugging your AI agent ensures that it responds accurately to customer queries. By regularly reviewing data sources, updating the AI model, and refining responses, you can create a chatbot that delivers helpful and precise answers. If adjustments are needed, revisit the Data Sources settings for further refinements.